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                <text>Joy, Jean Mary; P?, Amruth; Paul, Preethy Treesa; M?, Rosemol Jacob; Dara, Pavan Kumar; Mathew, Suseela</text>
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                <text>Innovative fish peptide-loaded chitosomes: Advancing bioactive delivery through comprehensive in vitro and in vivo assessments</text>
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                <text>Joy J.M., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India, Faculty of Marine Sciences, Cochin University of Science and Technology, Kerala, Cochin, 682022, India, Department of Zoology, St. Teresa's College (Autonomous), Kerala, Ernakulam, 682011, India; P? A., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India, Faculty of Marine Sciences, Cochin University of Science and Technology, Kerala, Cochin, 682022, India, Department of Life Sciences, Christ University, Hosur Main Road, Bhavani Nagar, Karnataka, Banglore, 560029, India; Paul P.T., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India, Faculty of Marine Sciences, Cochin University of Science and Technology, Kerala, Cochin, 682022, India; M? R.J., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India, Faculty of Marine Sciences, Cochin University of Science and Technology, Kerala, Cochin, 682022, India; Dara P.K., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India, Department of Biotechnology, Faculty of Science and Humanities, SRMIST, Tamil Nadu, Kattankulathur, 603203, India; Mathew S., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India</text>
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                <text>Considerable advancements have been achieved in controlled delivery systems, yet ensuring optimal stability, bioavailability, and precise targeting of bioactive compounds continues to present challenges. Addressing this gap, the present study explores chitosomeslipid vesicles stabilized by chitosanas a promising approach to enhance the delivery efficiency of bioactive molecules. This study investigate fish peptide-loaded chitosomes, leveraging chitosan's biocompatibility, biodegradability, and encapsulation capabilities. A comprehensive evaluation was conducted under both in vitro and in vivo conditions to assess their potential applications. In vitro studies using L929 cell lines demonstrated high biocompatibility, efficient cellular uptake, and sustained cell viability, with a dose-dependent cytotoxicity profile, leading to early and late apoptosis. The tolerance, favourable metabolic stability, and biomarker responses were validated by in vivo evaluations in Albino Wistar rats, demonstrating systemic efficacy and safety. Moreover, the peptide-chitosome formulation demonstrated a lipid-lowering impact, as evidenced by increases in high-density lipoprotein (HDL) and unsaturated fatty acids and decreases in triglycerides, saturated fatty acid content, and low-density lipoprotein (LDL). These findings highlight the potential of fish peptide-loaded chitosomes as an advanced bioactive delivery system, addressing existing limitations and expanding their applicability in nutraceutical and therapeutic formulations.  2025 The Author(s)</text>
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                <text>Mental Health and Social Inclusion;pp.1-15</text>
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                <text>Joy J., Department of International Studies, Political Science and History, Christ (Deemed to be University), Bangalore, India</text>
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                <text>Purpose  This paper aims to explore how maritime geopolitical tensions, especially between China and India, exist in the Indian Ocean Region (IOR) and impact the mental health and social inclusion of coastal communities. While most strategic analyses focus on military and economic factors, this research incorporates human security perspectives. Design/methodology/approach  Using an interdisciplinary framework that combines developmental psychology, strategic studies and geopolitical field analysis, this conceptual study highlights understudied mental health risks through qualitative case studies and secondary data from the IOR. Findings  The results indicate that in regions of militarized maritime development, anxiety, chronic stress, identity displacement and communal fragmentation are becoming more common. Stressors include foreign intervention and strategic uncertainty. A disproportionate number of women, children and displaced workers are impacted. Originality/value  This study, to the best of the authors knowledge, is one of the first to link psychological health at the grassroots level with maritime security strategy, urges policymakers to incorporate human-centered approaches into regional and national security planning. This study argues that growing strategic anxiety necessitates an integrated approach to national security, one that considers mental health and human security, particularly in regions such as Sri Lanka, the Maldives, Lakshadweep and the Andaman and Nicobar Islands.  2025 Emerald Publishing Limited</text>
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                <text>Human security; IndiaChina Rivalry; Maritime geopolitics; Mental health; Social inclusion; Strategic anxiety</text>
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                <text>Restricted Access; Hardcopy may be available in the library</text>
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                <text>'Maritime Big Play Strategy': Solidifying the role of Aukus in the Indo-Pacific region</text>
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                <text>Joy J., CHRIST University, Bangalore, India; Karlekar L., CHRIST University, Bangalore, India; Tripathi A., CHRIST University, Bangalore, India</text>
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                <text>The Indo-Pacific region is undergoing substantial shifts, driven by China's rising influence and the increasing importance of maritime security. As a result, in 2021, Australia, the United Kingdom, and the United States formed a trilateral security agreement known as AUKUS. This alliance addresses concerns in the region about China's military buildup, economic projects such as the Belt and Road Initiative, and assertive actions over the South China Sea. The strong, well-coordinated presence of AUKUS is intended to protect navigation freedoms, enforce international standards, and ward off aggression. In response, technology and information sharing are prioritized, along with improving defense capabilities, such as building Australia's nuclear-powered submarines. Furthermore, to promote stability in the Indo-Pacific, AUKUS has supported its members' defense industries. This paper assesses AUKUS's impact as a new regional partnership and explores how it is perceived among countries in the Indo-Pacific region. The paper views this phenomenon through a theoretical construct of liberalized militarism propounded in 2024. A conceptual case study approach with mixed methods has been employed to determine the significance of this international organization for India and other regional actors involved. The key themes covered in the paper include innovation and technical know-how advancements in defense and security to increase supply chain resilience, which has raised nuclear proliferation concerns for the intercontinental actors involved. Today, AUKUS stands as a vital global force, changing the trajectory of world politics away from hegemony toward armed harmony enhancing interoperability cooperation among its member states. This makes this paper crucial for academia to be aware of this growing alliance partnership, which is changing regional and international dynamics.  2025 Malque Publishing. All rights reserved.</text>
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                <text>India has made significant progress in using digital technology in education, with Learning Management Systemsplaying a key role. LMS offer scalable platforms for content delivery, assessment, and engagement, enhancing both teaching and learning. They enable personalized learning, simplify administrative tasks, and bridge the digital divide, improving accessibility across geographies. One such initiative, eVidya, provides digital content to school students. This study explores the role of LMS in public education and the challenges of integrating them into government schools, balancing local needs with global standards. The paper analyzes LMS evolution, key features, and benchmarks, with a detailed review of India's DIKSHA system and comparisons with international platforms like Google Classroom, Canvas, Moodle, and Schoology. It looks at country-specific LMS solutions from the US, Europe Australlia and Asia. The research proposes the Integrated eVidya-LMS Implementation Framework for Karnataka's schools, highlighting the potential benefits for India's digital education landscape.  2026, IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>Education is a social process by which knowledge is transferred to students through the intermediaries, the teachers. It can be had from non - formal and formal systems of Education. All formal systems are based on the classroom teaching. "The destiny of India is being shaped in her classroom", has been pointed out by the Indian Education Commission (KOTHARI COMMISSION) (1964-66) and to that, it may be safely added that the destiny of these classrooms is being shaped by the teachers. According to the American Commission, the quality of the nation depends upon the quality of the citizens. The quality of its citizens depends, not exclusively, but in critical measure upon the quality of their Education. The quality of their education depends more upon the quality of teachers. Humayun Kabir rightly said once, "Without good teachers even the best of system is bound to fall, with good teachers, even the defects of a system can be largely overcome". The teacher is the flywheel of the whole educational machine. Elaborate blue prints, modern school plans, the best equipment, the newest of the new &#13;
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                <text>Joy R., School of Business and Management, Christ University, Karnataka, Bengaluru, India; Josephine H., School of Business and Management, Christ University, Karnataka, Bengaluru, India; Divya D., School of Business and Management, Christ University, Karnataka, Bengaluru, India; Raj M., Christ University, India</text>
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                <text>Joy S., New Horizon College of Engineering, Department of Electronics and Communication Engineering, Bengaluru, India; Krishna B.V.S., New Horizon College of Engineering, Department of Electronics and Communication Engineering, Bengaluru, India; Rajesh S., New Horizon College of Engineering, Department of Electronics and Communication Engineering, Bengaluru, India; Neethu P.S., School of Engineering and Technology, Christ University, Department of Aiml and Data Science, Bengaluru, India</text>
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                <text>Depressive Disorder is a common mental health problem that affects millions of people around the world. This study proposes a Self-attention based Multi-layer Convolutional Neural Network (CNN) model to perform enhanced depression detection from audio modality. The model employs a diverse array of filters, kernel sizes, and pooling strategies across multiple CNN layers to capture local features, while the attention mechanism prioritizes emotionally salient parts of the speech signal, such as regions of low energy and lengthened pauses by assigning higher weights. Measured against the RAVDESS and TESS emotional speech datasets, the method attains an F1 score of 0.81, an accuracy of 83% and ROC-AUC of 0.96 when using attention, beating the baseline CNN model, F1 score of 0.77 and 83% accuracy without attention. The results demonstrate the effectiveness of attention-enhanced architectures in detecting depressive cues from speech and support the feasibility of developing real-world, speech-based mental health screening tools.  2025 IEEE.</text>
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                <text>Joy S., New Horizon College of Engineering, Department of Computer Science and Engineering, Bengaluru, India; Rajesh S., New Horizon College of Engineering, Department of Electronics and Communication Engineering, Bengaluru, India; Neethu P.S., School of Engineering and Technology, Christ University, Dept of Aiml and Data Science, Bengaluru, India</text>
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                <text>The paper presents a 24 GHz millimeter-wave (mm-Wave) system for real-time human presence and distance detection, leveraging the 24 GHz band's balance of range, resolution, and power efficiency for applications in smart environments. The system uses Doppler-based reflections from signals to accurately detect presence and estimate distances with  12cm accuracy up to 5 meters with little needed infrastructure. The challenges presented by signal attenuation and multipath interference are addressed using beamforming and Massive MIMO with 5G-enabled IoT as the framework. The use of Ultra-Reliable Low Latency Communication and Massive-Machine-Type Communication allows a framework for rapid data processing and scalability. This system enables automated smart home lighting, healthcare occupancy detection, and security intrusion alert applications, with very high detection accuracies. The limits are reduced detection performance beyond a distance of 6 meters and interference from reflective surfaces. Future work includes investigating the 60 GHz bands, which will yield higher resolution in the detection, and using machine learning techniques to develop adaptive detection, as a scalable and cost effective method of real-time automation in a range of settings.   2025 IEEE.</text>
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                <text>Joy S., Department of Computer Science and Engineering, New Horizon College of Engineering, Bengaluru, India; Rajesh S., Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, India; Neethu P.S., Department of AIML and Data Science, School of Engineering and Technology, Christ University, Bengaluru, India; Sumanth S., Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, India; Sagar, Department of Electrical and Electronics Engineering, New Horizon College of Engineering, Bengaluru, India; Swarup M., Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, India; Dhananjay R., Department of Electrical and Electronics Engineering, New Horizon College of Engineering, Bengaluru, India</text>
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                <text>Transportation today is paramount, and difficulties such as unreliable bus schedules and overcrowding are still found due to inadequate managerial practices. While cities are confronted with rapid urbanization and population growth, public transit remains a strong reliance of the middle class, especially in India. Individuals are subsequently subjected to overcrowded, and unreliable modes of transit, which lead them to seek private solutions that ultimately leads to increased private vehicle usage, which is directly related to more congestion and pollution. Therefore, utilising an IoT/machine learning based solution which provides commuters with updated bus locations and occupancy via their mobile phones to make more informed travel decisions, thus reducing wait times is proposed. Accurately tracking the buses via gps, is beneficial for providing timely information, where sensors are used for estimating occupancy based on passenger counts. The traffic prediction provided to users is generated from a Random Classifier machine learning model that would otherwise improve commuting efficiency and urban mobility. The model is found to have 98% accurate on cross-validation and 99% on test data, while the average F1-score over various traffic situations is 0.99. The described solution assists transit users by providing up to date service information improving the passengers quality of travel, heightened their sense of safety, and creates a more integrated urban experience, which promotes long-term sustainable development to meet the interconnectedness challenges cities confront with rapid urban expansion. 2025 IEEE.</text>
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                <text>Joy S., School of Business and Management, Indian Institute of Management Bangalore, Bengaluru, India; Arun Kumar A., School of Business and Management, Christ University Bangalore, Bengaluru, India</text>
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                <text>In the contemporary digital landscape, the phenomenon of technostress, defined as stress induced by technology usage, has emerged as a crucial factor influencing work-life balance and employee well-being. This study will explore the impact of technostress in varied work modes such as traditional office-based, remote, and hybrid models. Employing a quantitative approach, the researcher conducted surveys on a representative sample of employees across multiple industries. The results indicate that technostress adversely influences work-life balance and well-being, and the difference in various work modes is observable. Further, it has also been observed that there are significant differences in technostress and well-being concerning the various work modes; working from home comes out to be a positive option, which is related to lesser levels of technostress and higher outcomes of well-being. The present study shows how organisational interventions may be implemented in mitigating technostress-inducing effects: induction of digital literacy, instillation of appropriate communication policies, and embedding of supportive work culture. Essentially, an intervention could help organisations improve well-being 0f employees and achieve better work-life balance in a digital environment.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.</text>
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                <text>Joy S., Christ University, Karnataka, Bengaluru, India; Kumar A.A., Christ University, Karnataka, Bengaluru, India; Mathew J., Christ University, Karnataka, Bengaluru, India; Nair S., Christ University, Karnataka, Bengaluru, India</text>
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                <text>In the wake of the COVID-19 pandemic, organizations are undergoing significant changes that call for more effective people management strategies. With new competitive challenges and constantly evolving environments, modern organizations need toadapt to ensure their continued success. One valuable tool for achieving this goal is a performance management system. However, it is crucial to update the theories and techniques of this system to meet the current demands. This study explores how the performance management system affects employees social experiences from a neuroscience perspective. Using a quantitative approach, the study gathered information from 268 employees across various industries in India, considering ten performance management criteria and evaluating social experience components using the SCARF model based on neuroscience. The results reveal that specific aspects of the performance appraisal system significantly impact employees social experiences. Based on their understanding of the link between different factors in the performance appraisal process and the quality of social experience, researchers recommend a performance appraisal model that promotes a brain-friendly work environment. These findings are especially relevant to managers and organizations, as they offer valuable insights into critical factors to consider when planning and implementing performance appraisal systems in modern workplaces.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.</text>
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                <text>Joy S., School of Business and Management, Christ University, Bengaluru, India; Kumar A.A., School of Business and Management, Christ University, Bengaluru, India; Nair S., School of Business and Management, Christ University, Bengaluru, India</text>
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                <text>Purpose: As the higher education landscape continues to evolve, educational managers need to be adaptable and embrace versatility and interactivity in their management methods. The research investigates the interplay between brain-friendly work environment, motivation, ambidexterity and engagement among higher education faculty. Design/methodology/approach: This research investigates the relationships and mechanisms among various variables in higher education using a quantitative approach. Data were collected through surveys administered to educators in South India, focusing on their perceptions of brain-friendly work environments, motivation, ambidexterity and engagement. The questionnaire employed established standard scales, and a thorough analysis was conducted on the 437 responses received. Findings: The study establishes the significance of creating environments conducive to brain functioning, leading to the development of motivated, ambidextrous and engaged educators. Research limitations/implications: The study paves the way for experimental research, which can add rigour to the current findings. Additionally, other factors beyond the SCARF dimensions which can promote ambidexterity and engagement can be explored in future research. The findings of the study can be applied and tested in other organisational settings. Practical implications: A brain-friendly experience will function as a powerful motivational tool that enhances the productivity of faculty in the higher education sector. The insights of the study will help educational leaders in designing a productive work environment and governments in making policies which help to improve the quality of the higher education sector. Social implications: The quality and contributions of faculty members in the higher education sector are crucial for shaping society. This research contributes to the knowledge of creating motivated, ambidextrous and engaged faculty who can mould the future in todays competitive society. Originality/value: The concept of a workplace that prioritizes cognitive well-being is becoming increasingly relevant in education. Research results contribute significantly to existing knowledge and highlight the importance of creating an environment that supports optimal brain function, leading to enhanced employee performance. These findings offer valuable insights for educational leaders and policymakers seeking to improve working conditions.  2025, Emerald Publishing Limited.</text>
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                <text>Reclaiming Selfhood: Transfeminine Identity in the Poetry of Justice Ameer and Golden</text>
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                <text>Comparative American Studies;Volume;22;Issue;3;pp.184-197</text>
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                <text>&lt;a href="https://doi.org/10.1080/14775700.2025.2545646" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/14775700.2025.2545646&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105017975054?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105017975054?origin=resultslist&lt;/a&gt;</text>
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                <text>Joy S., St Josephs College, Devagiri, Kerala, India, Department of English and Cultural Studies, Christ (Deemed to be University), Bangalore, India; Jacob R., Department of English and Cultural Studies, Christ (Deemed to be University), Bangalore, India</text>
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                <text>Despite increased visibility of trans identities in contemporary US discourse, Black transfeminine individuals remain subjected to systemic violence, societal misrecognition, and cultural erasure, exacerbated by the fraught political climate under administrations that alternately advance and restrict transgender rights. This paper explores the transformative potential of Black transfeminine poetry as a site of self-representation and resistance against hegemonic frameworks of gender, race, and identity. Through a close reading of select poems by Justice Ameer and Golden, the analysis highlights how their works challenge cisnormative and patriarchal narratives, reclaim authority over gender representation and illuminate the fluidity of identity as a process of resilience and resistance. Drawing on themes of memory, trauma, community, and agency, this paper situates their poetry as both a critique of systemic marginalisation and a radical act of reimagination. By positioning their works within the broader socio-political context of the United States, the paper underscores how Black transfeminine poetics not only confront societal erasure but also construct spaces of affirmation and liberation. Through these explorations, the paper demonstrates the capacity of poetry to subvert oppressive narratives, assert the multiplicity of identity, and envision transformative possibilities for transfeminine existence.  2025 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>autoscaling; cluster autoscaler; container scaling; hpa; kubernetes; performance; scaling; vpa</text>
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                <text>Kubernetes is an open-source production-grade container orchestration platform, that can enable high availability and scalability for various types of workloads. Maximizing the performance and reducing the cost are two major challenges modern applications encounter. To achieve this, resource management and proactively deploying resources to meet specific application requirements becomes utmost important. Adopting Kubernetes auto-scaler to fit one's needs are important to maximize the performance. This study aims to perform a comprehensive analysis of Kubernetes auto-scaling policies. This paper also lists out the various parameters considered for auto-scaling, and prediction methods used to efficiently handle resource requirements of applications. The research findings reveal a scarcity in the existing work regarding the variety of workload based auto-scaling and custom metrics. This paper provides a concise overview of a forthcoming research endeavor that explores the utilization of custom metrics in conjunction with auto-scaling.  2023 IEEE.</text>
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                <text>Joyce J.E.; Sebastian S.</text>
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                <text>2023 Global Conference on Information Technologies and Communications, GCITC 2023</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/GCITC60406.2023.10426170" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/GCITC60406.2023.10426170&lt;/a&gt;
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                <text>Joyce J.E., Christ (Deemed to Be University), Department of Computer Science, Bangalore, India; Sebastian S., Christ (Deemed to Be University), Department of Computer Science, Bangalore, India</text>
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                <text>Microservices and Kafka have become a perfect match for enabling the Event-driven Architecture and this encourages microservices integration with various opensource platforms in the world of Cloud Native applications. Kubernetes is an opensource container orchestration platform, that can enable high availability, and scalability for Kafkacentric microservices. Kubernetes supports diverse autoscaling mechanisms like Horizontal Pod Autoscaler (HPA), Vertical Pod Autoscaler (VPA) and Cluster Autoscaler (CA). Among others, HPA automatically scales the number of pods based on the default Resource Metrics, which includes CPU and memory usage. With Prometheus integration, custom metrics for an application can be monitored. In a Kafkacentric microservices, processing time and speed depends on the number of messages published. There is a need for auto scaling policy which can be based on the number of messages processed. This paper proposes a new autoscaling policy, which scales Kafka-centric microservices deployed in an eventdriven deployment architecture, using a Reinforcement Learning model.   2022 IEEE.</text>
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                <text>2022 IEEE 4th PhD Colloquium on Emerging Domain Innovation and Technology for Society, PhD EDITS 2022</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/PhDEDITS56681.2022.9955300" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/PhDEDITS56681.2022.9955300&lt;/a&gt;
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